|Publication number||US7587047 B2|
|Application number||US 11/159,657|
|Publication date||Sep 8, 2009|
|Filing date||Jun 22, 2005|
|Priority date||Jun 22, 2005|
|Also published as||US20060291649|
|Publication number||11159657, 159657, US 7587047 B2, US 7587047B2, US-B2-7587047, US7587047 B2, US7587047B2|
|Inventors||Richard E. Crandall, Douglas P. Mitchell, Scott Krueger, Guy Tribble|
|Original Assignee||Apple Inc.|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (45), Non-Patent Citations (3), Referenced by (8), Classifications (12), Legal Events (4)|
|External Links: USPTO, USPTO Assignment, Espacenet|
This application is related to U.S. application Ser. No. 11/051,441, filed Feb. 3, 2005, entitled “Small Memory Footprint Fast Elliptic Encryption,” which application is incorporated by reference herein in its entirety.
The disclosed embodiments relate generally to cryptography and in particular to the generation of secure random numbers for use in cryptographic systems.
Since the advent of public-key cryptography, numerous public-key cryptographic systems have been proposed. Today, only three types of systems are still considered secure and efficient. These systems include integer factorization systems, discrete logarithm systems and elliptic curve cryptography (ECC) systems. The security afforded by integer factorization rests on the difficulty of factoring a large product of two prime numbers. The security of discrete logarithm systems rests on the difficulty of solving the discrete logarithm problem (DLP). The security of ECC systems rests on the difficulty of solving the elliptic curve DLP (ECDLP) problem, which amounts to finding a log in a group of points defined on an elliptic curve over a prime field. ECC's advantage over other systems is that its inverse operation gets harder, faster, against increasing key length, making it suitable for portable devices having small form factors with limited power and memory.
Cryptographic systems, and particularly stream ciphers, often use pseudorandom number generators to provide sequences of random numbers. Such random number generators can produce, at most, only 2k different output values, where k is the number of bits used to represent internal state data. The pseudorandom number generator often is initialized in an arbitrary state of a repeating sequence of states (i.e., a cycle) as some function of a keyword or key phrase. Thus, an arbitrary initialization of a pseudorandom sequence may result in a short cycle or pattern of different output values that could repeat during a long message or session. These repeated patterns make pseudorandom number generators vulnerable to automated attacks. To prevent patterns from occurring, longer sequences (large k values) can be used. However, for devices having small form factors (e.g., media players, mobile phones, etc.), power and memory constraints limit the length of the random number sequences that can be generated, resulting in an increased risk that detectable patterns will be generated.
Therefore, what is needed is a system, method and apparatus for providing random numbers of cryptographic strength that are suitable for use in cryptographic systems for small devices.
A chaos generator for accumulating stream entropy is disclosed. The chaos generator includes a random-source coupled to an entropy accumulator that is configurable for generating a binary random input sequence. The entropy accumulator is configurable for accumulating entropy of the input sequence and providing a binary random output sequence based on the accumulated entropy. The binary random output sequence is reduced by a modular reduction operation having a modulus that is set equal to a cryptographic prime (e.g., the order of an elliptic curve). The number of iterations performed by the entropy accumulator on the binary random input sequence is selected to provide a binary random output sequence having a desired cryptographic strength. The chaos generator can be part of a signing and verification system that uses fast elliptic encryption for small devices.
An example of an entropy accumulator 104 is a chaotic map, such as a quartic chaotic map given by
r n+1=((r n +w n)4+(r n +n)4) mod p, (1)
where rn+1 is the q-bit output of the entropy accumulator 104, wn is the m-bit input word received from the low-entropy random source 102, p is a cryptographic prime appropriate to the cryptography in force, and n is an integer that is incremented each time equation (1) is executed. In some embodiments, n can be initially set to zero.
Primes that are suitable for use with small memory fast elliptic encryption systems (SFEE) have the prime characteristic
p=w s −k, kε[1, w−1], k≡1(mod 4), (2)
wherein w is a word size for the field arithmetic (e.g., w=216 bits), and s is a chosen integer exponent, which can be used to set the security level of the SFEE (e.g., s=10).
It should be apparent that the entropy accumulator 104 is not limited to the expression of equation (1). Rather, other chaos systems can be used as an entropy accumulator 104, including other algebraic forms or expressions, such as exponentiation modulo p, higher powers, and the like. It is noted, however, that the speed of the quartic chaotic map makes it ideally suited for small devices with limited processing power, such as portable electronic devices (e.g., media players, digital cameras, mobile phones, etc.). For some SFEE systems, a suitable prime p (e.g., 128 or 160 bits) would have the property p≡3 mod 4.
A more detailed discussion of suitable primes for SFEE systems can be found in U.S. application Ser. No. 11/051,441. Various embodiments of FEE systems are described in U.S. Pat. No. 6,307,935, issued Oct. 23, 2001, entitled “Method and Apparatus For Fast Elliptic Encryption With Direct Embedding,” and U.S. Pat. No. 6,285,760, issued Sep. 4, 2001, entitled “Method and Apparatus For Digital Signature Authentication,” each of which is incorporated herein by reference in its entirety.
Although the entropy accumulator 104 implements the expression of equation (1), it should be apparent that other types of entropy accumulators will have different numbers and types of steps and/or modules depending upon the chaos system used. For example, a chaos system that performs an exponentiation mod p operation would include a module for performing exponentiation.
The process 300 is initialized (step 302) by setting r=1, n=0 and N=max_iter, where max_iter is the number of iterations of the process flow 300 with a new random word w. In order for r to be cryptographic strength, N can be selected to be at least
where p is a cryptographic prime and E is the estimated entropy of the binary random input sequence (e.g., 2.9 bits per w sample). A procedure for estimating the entropy of a binary random input sequence is described in Appendix A.
After initialization, the process 300 waits (step 304) for a new random word w from a low-entropy random device. When the random word w is received, the wide random number r is updated using, for example, equation (1). Next, the count n is updated (step 308) and compared with N. If the count n is equal to N, then r is made available as a wide random number of about size p (step 310). If the count n is not equal to N, then the process flow 300 returns to step 304 to receive another new random word w from the low-entropy random device.
The process 400 begins by executing the chaos generator flow 300 described with respect to
The chaos generator process flows 300 and 400 described above are two examples of how to accumulate the entropy of a binary random input sequence and provide a wide, binary random output sequence based on the accumulated entropy, such that the output sequence has a higher entropy than the input sequence. It should be apparent that other process flows can be used depending upon the application. For example, it may be sufficient to iterate the quartic chaotic map in equation (1) with no change in w. Generally, when all r values are entirely private, as is the case in some digital signature systems, the process flow 400 can be used to speed up the chaos generator 100. However, when r is public, the more secure process flow 300 may be desirable because it reveals minimum information about the underlying small entropy random device (e.g., repeating patterns).
The challenging device 502 sends a challenge m to the signing device 104. In some embodiments, the challenge m is a random number generated by a chaos generator 506 in the challenging device 502. The random number m is constrained to be an integer within the interval mε[2,o−1], where o is the order of an elliptic curve. The chaos generator 506 can be implemented in hardware or software or a combination of both. An example of a suitable chaos generator 506 is chaos generator 100, as described with respect to
The signing device 504 receives the random number m from the unsecured channel and performs a signing operation using a chaos generator 508. The result of the signing operation is a digital signature represented by the parameter triplet (u, xr, zr). The challenging device 502 receives the triplet from the signing device 504 and performs a verification process using a chaos generator 506, as described with respect to
If verification results in a valid signature, then a communication session can be established between the challenging device 502 and the signing device 504. The system 500 can be used for a variety of applications requiring digital signature signing and verification. For example, a media player can use the system 500 to prevent unauthorized devices (e.g., computer, smart card, camera, speaker system, accessory devices, etc.) from receiving or sending files or other information from or to the media player. In some embodiments, successful signature verification allows certain functionality in the challenging device 502 to be accessed or unlocked that otherwise would not have been available to the challenging anchor signing devices 502, 504.
The interface circuitry 602 includes circuitry for establishing and maintaining a connection and communication session with other devices or with a network. Such circuitry may include a transmitter, a receiver, line drivers, buffers, logic devices, signal conditioning circuitry, etc. If the signing device 504 is wireless, then the interface circuitry 602 would include appropriate wireless circuitry (e.g., a wireless transceiver) for establishing and maintaining a wireless communication session with another device or network.
In some embodiments, the challenging device 502 generates a random integer mε[2, o−1] using the chaos generator 506 and sends it to the signing device504 over a communication channel (shown as an unsecured channel in
(x r ,z r)=r·(x 1,1), (5)
wherein r is the random number generated by the chaos generator 508 and (x1, 1) is an initial public point on the elliptic curve in Montgomery form. Note that in some embodiments, the random number r is in the interval [2, o−1] and is further constrained to have a low Hamming weight (e.g., 48). The “1” bits, however, can be in any bit position.
The multiply module 608 forms a product xrkm using non-field multiplication, wherein xr is the x field element of the point (xr, zr) on the elliptic curve, K is a private key and m is the random number sent by the challenging device 502. Using non-field addition, the summing module 606 adds the product to the random number r to form the sum xrKm+r. The mod module 604 reduces this value by the curve order o using fast modular operations to produce a signature component u given by
u:=(x r Km+r)modo. (6)
The signature component u and the field elements xr, zr are then sent to the challenging device 502 as a digital signature packet via the interface circuitry 602.
The challenging device 502 receives the signature packet (u, xr, zr) from the signing device 504. The elliptic multiplier module 710 computes the point
(x,z)=u·(x 1, 1), (7)
wherein u is the signature component of the signature packet received from the signing device 504. The point (x, z) is sent to the compare module 702 where it is used to validate the digital signature.
Next, the multiplication module 706 uses non-field multiplication to form a product xrm from the field element xr received from the signing device 504 and the random number m generated by the chaos generator 506. This is the same random number m previously sent by the challenging device 502 and used by the signing device 504 to produce its digital signature. The product xrm is sent to the mod module 704, where it is reduced to a temporary component h using FEE modular operations and a modulus set equal to the curve order o. Thus, the multiplication and modular operations give
h=x r m mod o (8)
The elliptic multiplier module 710 receives the temporary component h and a public key represented by the public point (xp, zp) on the elliptic curve, and performs an elliptic multiplication on these values to give
(x v ,z v)=h·(x p ,z p). (9)
After computing equation (9), the points (xv, zv) and (xr, zr) are then sent to the compare module 702 where they are used to validate or invalidate the signature sent by the signing device 504. In some embodiments, the compare module 502 uses the points (xv, zv) and (x, z), and the point (xr, zr) sent by the signing device 504 to determine whether there is an elliptic identity given by
(x r ,z r)±(x v ,z v)==(x,z), (10)
wherein the elliptic identity is determined by the algebraic expression
(x r ,z v −z r ,x v)2 x 2−2xz[(x r x v +z r z v)(x r z v +x v z r)+2cx r x v z r z v]+(x r x v −z r z v)2=0, and (11)
c is the Montgomery parameter for the elliptic curve.
In some embodiments, the sigcompare (xr, zr, xv, zv, x, z) function calculates the algebraic expression modulo the prime p and returns TRUE if and only if the result is 0. Note that the sigcompare( ) function determines whether P=P1+/−P2 on an elliptic curve, without explicit elliptic addition, as described in U.S. Pat. No. 6,285,760.
The signing device 800 can optionally include one or more control devices 805 (e.g., mouse and keyboard, or keypad, touch sensitive display, etc.) and may optionally include a display device 607 (e.g., CRT, LCD, etc.) for enabling a user to communicate and control various aspects of the signing device 800. The communications interface 804 can be a port, network interface card, wireless interface card and the like. In some embodiments, the communications interface is a USB or FireWire™ port for connecting directly with a challenging device 502 or indirectly through a network.
The computer-readable medium 808 includes an operating system 810 (e.g., Mac O/S, Linux, Windows™, Unix, etc.) having various software components and drivers for controlling and managing various tasks (e.g., memory management, hard disc control, power management, etc.). A network communication module 812 includes software programs and/or protocol stacks for establishing and maintaining communication links with other devices or networks via the communications interface 804. The computer-readable medium 808 also includes a signature generation module 814, which includes various software components containing code or instructions for performing or controlling the signature generation process. For example, the signature generation module 814 includes the initial public point (x1, 1) 816, a chaos generator 818, a curve parameter structure 820, private key K 822, and various functions 824 for performing the various computations used in SFEE, including but not limited to unsigned finite field arithmetic. The operations of the various software components of the signature generation module 814 have been previously described with respect to
In some embodiments, the curve parameter structure 820 is used to define a complete set of curve parameters. Preferably, the curve parameter structure 820 has a total word size less than a single lGiant's (defined below) allocation. An example of such a curve parameter structure 820 is as follows:
//The field prime characteristic is p := ws − k, with
k ∈ [0, w − 1].
//The curve order is o := ws − j, with
//The initial public point is P1 := (x1, 1).
//Montgomery parameter for elliptic curve
y2 = x3 + cx2 + x.
Note that the curve parameter structure 820 disclosed above does not explicitly store the field prime characteristic p or the curve order o. In this embodiment, the “word16” type is an unsigned integer of 16 bits and the “lGIant” type has a width of s+1 digits (i.e., arithmetic words). If desired, once j is known, the integer type can be changed to an even smaller integer type, since j will typically be about one half the size of an lGiant type. Assuming a word size of w=216, a suitable curve parameter structure 820 would be:
With the above parameter assignments, P1=(30, 1) has a point order=curve order=o:=w10−j. The curve order o can be factored as:
Thus, the point order of x1, which is also the curve order o, is minimally composite. However, security is still afforded because of the large prime factor of the order. It is well-known that signature schemes work best when the order is minimally composite.
The computer-readable medium 908 includes an operating system 910 (e.g., Mac O/S, Linux, Windows, Unix, etc.) having various software components and drivers, executable by the processor(s) 902, for controlling and managing various tasks (e.g., memory management, hard disc control, power management, etc.). The network communication module 912 includes software programs and/or protocol stacks (executable by the processor(s) 902) for establishing and maintaining communication links with other devices or a network via the communications interface 904. The computer-readable medium 908 also includes a signature verification module 914, which includes various software components containing code or instructions for generating the various steps of the signature verification process. For example, the signature verification module 914 includes the initial public point (x1,1) 916, a chaos generator 918, a curve parameter structure 920, a public key of the signing device (xp, zp) 922, and various functions 924 for performing the various computations used in SFEE, including but not limited to unsigned finite field arithmetic. Unlike, the signing device 800, the challenging device 900 uses a software random source 926 (e.g., pseudorandom number generator). However, the random source 926 could also be implemented in hardware as shown in
The disclosed embodiments are not intended to be exhaustive or limited to the precise forms disclosed. Many modifications and variations to the disclosed embodiments are possible in view of the above teachings.
Entropy estimation for the counter sequence Wn.
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|U.S. Classification||380/46, 380/263, 713/176|
|Cooperative Classification||H04L9/0662, H04L9/001, H04L9/3252, H04L2209/12, H04L9/3066|
|European Classification||H04L9/22, H04L9/00C, H04L9/30L|
|Jun 22, 2005||AS||Assignment|
Owner name: APPLE COMPUTER, INC., CALIFORNIA
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:CRANDALL, RICHARD E.;MITCHELL, DOUGLAS P.;KRUEGER, SCOTT;AND OTHERS;REEL/FRAME:016729/0083;SIGNING DATES FROM 20050616 TO 20050620
|Jul 30, 2009||AS||Assignment|
Owner name: APPLE INC., CALIFORNIA
Free format text: CHANGE OF NAME;ASSIGNOR:APPLE COMPUTER, INC.;REEL/FRAME:023026/0596
Effective date: 20070109
|Sep 21, 2010||CC||Certificate of correction|
|Feb 6, 2013||FPAY||Fee payment|
Year of fee payment: 4